class_docstr: Select randomly partial quantity of data at each epoch
class_docstr_tok: ["Select","randomly","partial","quantity","of","data","at","each","epoch"]
code: def get_idxs(self):
      if self.partial_n is None:
          return super().get_idxs()
      return list(
          np.random.choice(self.n, self.partial_n, replace=False)
      )
  
file_path: fastai/fastai/callback/data.py
imports: from __future__ import annotations
  from ..basics import *
label_desc: Use image node_id 2 for calling the PartialDL obj's underlying member method code with example usage: obj.get_idxs() and returns: list, super